Slide 58
Slide 58 text
参考文献: Graph Neural Netowrks
Spectral Networks (Bruna+ 2014)
Bruna, Joan, et al. “Spectral Networks and Locally Connected Networks on Graphs.” ICLR 2014 : International Conference on Learning Representations
(ICLR) 2014, 2014.
ChebNet (Defferrard+ 2016)
Defferrard, Michaël, et al. “Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.” NIPS’16 Proceedings of the 30th International
Conference on Neural Information Processing Systems, 2016, pp. 3844–3852.
Graph Convolutional Network (Kipf&Welling 2017)
Kipf, Thomas N., and Max Welling. “Semi-Supervised Classification with Graph Convolutional Networks.” ICLR 2017 : International Conference on Learning
Representations 2017, 2017.
Message Passing Neural Network (Gilmer+ 2017)
Gilmer, Justin, et al. “Neural Message Passing for Quantum Chemistry.” ICML’17 Proceedings of the 34th International Conference on Machine Learning -
Volume 70, 2017, pp. 1263–1272.
Neural Networks for Graph (Micheli 2009)
Micheli, A. “Neural Network for Graphs: A Contextual Constructive Approach.” IEEE Transactions on Neural Networks, vol. 20, no. 3, 2009, pp. 498–511.
DCNN (Atwood&Towsley 2016)
Atwood, James, and Don Towsley. “Diffusion-Convolutional Neural Networks.” Advances in Neural Information Processing Systems, 2016, pp. 1993–2001.
GAT (Velickovic+ 2018)
P. Velickovic, G. Cucurull, A. Casanova, A. Romero, P. Lio, and Y. Bengio, “Graph attention networks,” ICLR 2018, 2018.